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Open-weight model

Qwen3.8-27B-Uncensored-Chinese-LoRa-adapter

by Vurtne Saerdna vurtnesaerdna/Qwen3.8-27B-Uncensored-Chinese-LoRa-adapter

Qwen3.8-27B-Uncensored-Chinese-LoRa-adapter is an open-weight model from Vurtne Saerdna, released under Apache License 2.0. Its published files total 435.3 MB.

LoRA adapter only (no base weights) from an instruction SFT of Qwen/Qwen3.8-27B for Chinese adult-fiction (18+) creative writing.

Parameters—
Context—
Weights435.3 MB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Vurtne Saerdna, published under apache-2.0, revision 98df76e4f8b2.

LoRA adapter only (no base weights) from an instruction SFT of Qwen/Qwen3.8-27B for Chinese adult-fiction (18+) creative writing. - Target modules (all 64 language-model layers): selfattn.{q,k,v,o}proj, linearattn.{inprojqkv,inprojz,outproj}, mlp.{gate,up,down}proj With vLLM: vllm serve Qwen/Qwen3.8-27B --enable-lora --max-lora-rank 16 --lora-modules uncensored=vurtnesaerdna/Qwen3.8-27B-chinese-uncensored-lora-adapter, or merge first and serve the merged model. - [email protected] - [email protected]

Read Vurtne Saerdna's full model card

Qwen3.8-27B Chinese Uncensored — LoRA adapter

LoRA adapter only (no base weights) from an instruction SFT of Qwen/Qwen3.8-27B for Chinese adult-fiction (18+) creative writing.

Content warning: this adapter is intended for adult (18+) fiction. Outputs may contain explicit sexual content.

Details

  • Base model: Qwen/Qwen3.8-27B
  • LoRA: r=16, alpha=32, dropout 0, no bias
  • Target modules (all 64 language-model layers): self_attn.{q,k,v,o}_proj, linear_attn.{in_proj_qkv,in_proj_z,out_proj}, mlp.{gate,up,down}_proj
  • Training: ~4.2k chat-format examples, assistant-only loss, 2 epochs (1050 steps), lr 1e-4 cosine, max length 1536, effective batch 8
  • Final val loss: 2.96
  • Weights stored in fp32

Usage

import torch
from transformers import AutoModelForImageTextToText, AutoTokenizer
from peft import PeftModel

base = "Qwen/Qwen3.8-27B"
tok = AutoTokenizer.from_pretrained(base)
model = AutoModelForImageTextToText.from_pretrained(base, dtype=torch.bfloat16, device_map="auto")
model = PeftModel.from_pretrained(model, "vurtnesaerdna/Qwen3.8-27B-chinese-uncensored-lora-adapter")
model = model.merge_and_unload()  # optional

messages = [
    {"role": "system", "content": "你是一名擅长成人向文学创作的助手。所有角色均为自愿的成年人(18+)。按用户的写作指令输出完整、连贯的文本。"},
    {"role": "user", "content": "描写一个酒吧女DJ和富二代做爱的场景,需要写实,加入性爱聊骚,动作声音描写"},
]
inputs = tok.apply_chat_template(
    messages, add_generation_prompt=True, enable_thinking=False, return_tensors="pt", return_dict=True
).to(model.device)
out = model.generate(
    **inputs, max_new_tokens=1024, do_sample=True,
    temperature=0.9, top_p=0.9, top_k=40, min_p=0.05,
)
print(tok.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))

With vLLM: vllm serve Qwen/Qwen3.8-27B --enable-lora --max-lora-rank 16 --lora-modules uncensored=vurtnesaerdna/Qwen3.8-27B-chinese-uncensored-lora-adapter, or merge first and serve the merged model.

The training system prompt was:

你是一名擅长成人向文学创作的助手。所有角色均为自愿的成年人(18+)。按用户的写作指令输出完整、连贯的文本。

Contact

Identity and Version

Repository
vurtnesaerdna/Qwen3.8-27B-Uncensored-Chinese-LoRa-adapter
Publisher
Vurtne Saerdna
Task
Not stated by the source
Modality
Other
Library
peft
Parameters
Not stated by the source
Languages
zh
Revision
98df76e4f8b2cf1f13dfe84bbbe2fe2b7c25e362
First published
2026-09-26
Last updated
2026-09-26

Files and Weights

4 files, 435.3 MB in total. The weights are 1 file totalling 435.3 MB in safetensors.

Weights1 file · 435.3 MB
Configuration1 file · 512 B
Documentation1 file · 2.6 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
adapter_model.safetensorsWeights435.3 MB 6318e1b2a887
adapter_config.jsonConfiguration512 B —
README.mdDocumentation2.6 KB —
.gitattributesRepository1.5 KB —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
435.3 MB
Download from Vurtne Saerdna

Released by Vurtne Saerdna through its official repository on Hugging Face. Read the license.

Built From

Memory Requirements

PrecisionWeights in memory
As published435.3 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About Qwen3.8-27B-Uncensored-Chinese-LoRa-adapter

Can I use Qwen3.8-27B-Uncensored-Chinese-LoRa-adapter commercially?

Yes. Qwen3.8-27B-Uncensored-Chinese-LoRa-adapter is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.